Mengyuan Xin — accepted AI-conference papers

2026

Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion

Youqing Wang, Tianxiang Zhao, Mengyuan Xin, Ye Su, Jiapu Wang, Tengfei Liu +2

ICML 2026poster

Deep multi-view graph clustering (DMGC) typically leverages graph neural networks for representation learning, but most existing methods excessively depend on local and static graph structures and only utilize simplistic cross-view fusion strategies. To this end, this paper proposes **A**ttribute-aw…

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2026

Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion

Youqing Wang, Jiahao Long, Tianxiang Zhao, Man Cao, Mengyuan Xin, Jiapu Wang +2

ICML 2026poster

Graph neural networks (GNNs) have been demonstrated to be powerful tools for analyzing structural graph data. However, most existing methods usually rely on fixed adjacency structures for information propagation, lacking strong adaptability to the latent semantic relationships that exist but are not…

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